Cybersecurity & Exploits

Global: Dark Patterns Directly Influence AI Web Agents in Majority of CasesResearchers affiliated with the arXiv preprint server have released a new study that investigates how deceptive user‑interface designs affect…

Global: Study Maps Security Issues Across AI Development Supply ChainResearchers examined developer discussions on Hugging Face and GitHub to identify security challenges faced by artificial‑intelligence projects, employing a custom pipeline…

Global: SCyTAG Framework Enables Scalable Cyber Twin Generation for Targeted Threat AssessmentResearchers have introduced SCyTAG, a multi-step framework designed to create minimal viable cyber twins that evaluate the impact of…

Global: Function Library Poisoning Exposes New Risk for LLM-Powered Autonomous VehiclesResearchers have unveiled a novel poisoning technique, dubbed FuncPoison, that targets the shared function library used by large‑language‑model (LLM) driven…

Global: New DSL Process Model Targets Cybersecurity Maturity in Industry 4.0Researchers Nimra Akram, Atif Ahmad, and Sean B. Maynard introduced the Advanced Dynamic Security Learning (DSL) Process Model on 26…

Global: Security Implications of UAV‑Based 6G Base StationsA new preprint released on December 25, 2025, examines the security implications of employing unmanned aerial vehicle (UAV) base stations in emerging 6G…

Global: USCSA Tool Achieves Over 90% Accuracy in Detecting Upgrade-Induced Smart Contract VulnerabilitiesResearchers Xiaoqi Li, Lei Xie, Wenkai Li, and Zongwei Li released a new security analyzer, USCSA, on arXiv…

Global: GoldenFuzz Framework Boosts Hardware Fuzzing Efficiency and Uncovers New RISC-V VulnerabilitiesA new arXiv preprint (arXiv:2512.21524) introduces GoldenFuzz, a two‑stage hardware fuzzing framework designed to accelerate vulnerability discovery in complex…

Global: Researchers Unveil LAMLAD: LLM-Powered Adversarial Attacks Threaten Android Malware DetectionIn a newly posted preprint, a team of computer scientists introduced LAMLAD, a large‑language‑model (LLM) based adversarial attack framework designed…

Global: Systematic Review Maps Technical Defenses Against Cheating in Online Multiplayer GamesBackground and ScopeA new systematic literature review released on December 24, 2025, surveys technical defenses designed to counter software‑based…